# Creating Data Visualizations

> Creating Data Visualizations is an Agent Skill for documents published in the foryourhealth111-pixel/Vibe-Skills repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

Create analytical charts and plots from existing data. Use for exploratory or reporting visuals such as bars, lines, scatters, and dashboards; not for publication-grade scientific figures or AI-generated schematics.

- Skill name: `creating-data-visualizations`
- Category: [Documents](https://www.openparable.com/skill/documents/1)
- Source: https://github.com/foryourhealth111-pixel/Vibe-Skills/blob/HEAD/bundled/skills/creating-data-visualizations/SKILL.md
- Repository: foryourhealth111-pixel/Vibe-Skills (2,381 GitHub stars when collected)

## SKILL.md

# Data Visualization Creator

Use this skill when the user needs a chart from data that already exists.

## Overview

This skill focuses on everyday analytical visualization choices: bars, lines, scatters, distributions, comparisons, and simple dashboards.

## When to Use This Skill

- Plotting trends, distributions, comparisons, or correlations from structured data
- Turning query output or CSV tables into charts for analysis or slides
- Choosing a sensible chart type and axis treatment for a non-specialist audience

## Not For / Boundaries

- Journal-ready figures, multi-panel publication layouts, TIFF/600dpi exports: use `scientific-visualization`
- Structural diagrams, flowcharts, and mechanism illustrations: use `scientific-schematics` or `markdown-mermaid-writing`
- Full research-report ownership: use `scientific-reporting`

## Integration

- Pair with `exploratory-data-analysis` before plotting questionable data
- Hand off to `scientific-visualization` if the chart must meet publication standards

## Example Requests

- "Plot monthly conversion rate with a confidence band"
- "Make a scatter plot of latency vs throughput"
- "Turn this CSV summary into a small dashboard"

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Source: https://www.openparable.com/skill/documents/creating-data-visualizations (OpenParable). Cite the canonical URL above.
